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Replication is crucial in experimental science, ensuring consistency in samples and measurements. It helps in understanding the truth and reducing noise in experiments. For example, studying the yeast cell cycle requires multiple observations to determine the true mean cell cycle length and reduce measurement errors. Replicates within and across experiments are necessary to avoid bias and enhance confidence in the results.